372 search results - page 8 / 75 » Covariance Kernels from Bayesian Generative Models |
BMCBI
2008
13 years 7 months ago
2008
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
ICCV
2007
IEEE
13 years 9 months ago
2007
IEEE
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...